Instructions to use JasonTree/Qwen2.5-3B-Instruct-vanilla-grpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JasonTree/Qwen2.5-3B-Instruct-vanilla-grpo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JasonTree/Qwen2.5-3B-Instruct-vanilla-grpo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JasonTree/Qwen2.5-3B-Instruct-vanilla-grpo: direct link, hf CLI and curl.
- Browser
- Download file 6.14 kB
-
https://huggingface.co/JasonTree/Qwen2.5-3B-Instruct-vanilla-grpo/resolve/main/training_args.bin
- Command line
-
hf download hf://JasonTree/Qwen2.5-3B-Instruct-vanilla-grpo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JasonTree/Qwen2.5-3B-Instruct-vanilla-grpo/resolve/main/training_args.bin
6.14 kB
- Xet hash:
- 32ee93eb5f40358eff46aaf1190b6cb4da5b2849177432f66aa499627a57ad8a
- Size of remote file:
- 6.14 kB
- SHA256:
- 77db688bd2b0af34581c46eba428e9482c70b8fc03f8063b8f2e9246ab6809c8
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